Large library docking of tangible molecules has revealed potent ligands across many targets. While make-on-demand libraries now exceed 75 billion enumerated molecules, their synthetic routes are dominated by a few reaction types, reducing diversity and inevitably leaving many interesting bioactive-like chemotypes unexplored. Here, we investigate the large-scale enumeration and targeted docking of isoquinuclidines.
View Article and Find Full Text PDFBecause nonopioid analgesics are much sought after, we computationally docked more than 301 million virtual molecules against a validated pain target, the α-adrenergic receptor (αAR), seeking new αAR agonists chemotypes that lack the sedation conferred by known αAR drugs, such as dexmedetomidine. We identified 17 ligands with potencies as low as 12 nanomolar, many with partial agonism and preferential G and G signaling. Experimental structures of αAR complexed with two of these agonists confirmed the docking predictions and templated further optimization.
View Article and Find Full Text PDFStructure-based docking screens of large compound libraries have become common in early drug and probe discovery. As computer efficiency has improved and compound libraries have grown, the ability to screen hundreds of millions, and even billions, of compounds has become feasible for modest-sized computer clusters. This allows the rapid and cost-effective exploration and categorization of vast chemical space into a subset enriched with potential hits for a given target.
View Article and Find Full Text PDFThe emergence of resistance to frontline antibiotics has called for novel strategies to combat serious pathogenic infections. Methicillin-resistant [MRSA] is one such pathogen. As opposed to traditional antibiotics, bacteriostatic anti-virulent agents disarm MRSA, without exerting pressure, that cause resistance.
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